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AI-Powered Job Summary
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You will be instrumental in building an enterprise-grade Agentic Framework designed to automate complex production lifecycles in heavy industries like aerospace and manufacturing.
This role is for engineers who thrive in "high-unknown" environments and can move from architecture design to production-grade implementation with minimal oversight. We value candidates who leverage heavy AI code assistance to accelerate delivery without sacrificing quality
Requirements
Technical Excellence:
- Python Mastery: Expert-level Python with experience in FastAPI or Django
- Agentic Frameworks: Proven experience with LangGraph and LangChain for building complex LLM pipelines
- Production-Grade Engineering: Deep understanding of TDD, linters, and ensuring high test coverage within CI/CD processes
- Data Proficiency: Experience in data processing using tools like Pandas, Polars, or PySpark
- API Development: Ability to build scalable backends for real-time interactions, including WebSockets
- Extreme Ownership: Ability to take a project from business requirements through to implementation with minimal oversight
- Analytical Decision-Making: Ability to justify architectural choices (e.g., Vector DB vs. Corporate Standard) using data-driven Proof of Concepts
- High Velocity: Comfortable working in a small, fast-paced team where rapid delivery is essential
- Defined Execution: Strong commitment to establishing a clear "Definition of Done" for every task
- Familiarity with .NET to align with existing corporate standards and facilitate cross-team integration
- Cloud-Native AI Guardrails: Experience with Azure Content Safety or AWS Bedrock Guardrails to manage model compliance
- Advanced Monitoring: Experience with Arize Phoenix or similar tools for debugging agent behavior and tool-calling efficiency
- LLM Fine-Tuning/Prompting: Knowledge of few-shot learning and structured prompting using XML, JSON, or Markdown
- Enterprise Databases: Familiarity with Azure Cosmos DB, MongoDB, or MSSQL
- Core Platform Development: Responsible for the development of the core agent platform components
- Architecture Transition: Lead the transition from a JavaScript prototype to a segregated Python application with dedicated Management APIs and Agent Execution Backends
- Agent Orchestration: Build and manage complex agent workflows using LangChain and LangGraph to handle multi-step interactions and tool calls
- No-Code & Pro-Code Tooling: Develop a platform that allows administrators to build agents via a "no-code" approach while enabling advanced users to execute custom code scripts
- RAG & Search Optimization: Implement advanced retrieval strategies, including hybrid search and rerankers, while justifying database choices through proof-of-concept metrics
- Guardrails & Compliance: Ensure AI safety by implementing logits masking, context managers, and content guardrails to prevent harmful or off-brand generation
- Udemy courses of your choice
- Team-buildings, events, marathons & charity activities to connect and recharge
- Workshops, trainings, expert knowledge-sharing that keep you growing
- Clear career path
- Absence days for work-life balance
- Flexible hours & work setup - work from any of listed locations and organize your day your way
Key Skills
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